NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What You'll Be Doing:
- You will be part of the block storage engineering team and will play a key role in delivering cloud native enterprise grade storage service.
- Design, develop and maintain Python modules which model, discover and manipulate all aspects of our distributed system
- Develop and support Python tools for both internal and customer users using the above modules
- Develop and maintain Bash scripts used for deploying the system on both physical and cloud nodes of varying Linux flavors
- Deploy and maintain servers and scripts for Continuous Integration using Gitlab and Jenkins
- Work with other development teams to model and support ongoing new features in the system
- Support the QA team in developing automated test development using our libraries
What We Need To See:
- B.Sc. in Computer Science or equivalent experience
- 5+ years of relevant experience
- Strong experience & excellent understanding of Python (object oriented) is required.
- Strong knowledge of Linux commands and Bash scripting
- Good understanding of Continuous Integration processes and tools
- Strong sense of ownership of what you develop
- Ability to work both independently and as part of a team
Ways to Stand Out From the Crowd:
- Experience developing object-oriented, multi-threaded Python applications
- Hands-on experience with Gitlab and Jenkins
- Understanding and experience with containers, Docker and Kubernetes
- Experience with cloud platforms (Azure, GCP, AWS)
- Knowledge of storage, Filesystem and networking
